Mitsuo Kawato

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Hiroshi ImamizuThe University of Tokyo and ATR Cognitive Mechanisms Labs.E-mail confirmado em l.u-tokyo.ac.jp
Hiroaki GomiNTT Communication Science Labs., NTT Corporation (Nippon Telegraph and Telephone Co.)E-mail confirmado em ntt.com
Etienne BurdetImperial College LondonE-mail confirmado em ic.ac.uk
David FranklinAssociate Professor, Technical University of MunichE-mail confirmado em tum.de
Daniel WolpertProfessor of Neuroscience, Columbia UniversityE-mail confirmado em columbia.edu
Kenji DoyaOkinawa Institute of Science and TechnologyE-mail confirmado em oist.jp
Jun MorimotoKyoto University & ATR Computational Neuroscience LabsE-mail confirmado em atr.jp
Masahiko HarunoNICT CINET & Osaka UniversityE-mail confirmado em nict.go.jp
Kazuhisa ShibataCenter for Brain Science, RIKENE-mail confirmado em riken.jp
Aurelio CorteseComputational Neuroscience Labs, ATR, Kyoto, JapanE-mail confirmado em atr.jp
Okito YamashitaNeural Inforamtion Analysis Laboratories, ATRE-mail confirmado em atr.jp
Hakwan LauInstitute for Basic Science (IBS), KoreaE-mail confirmado em skku.edu
Yasuharu KoikeTokyo Institute of TechnologyE-mail confirmado em pi.titech.ac.jp
Stefan SchaalRobotics, Machine Learning, AI, NeuroscienceE-mail confirmado em google.com
Nicolas SchweighoferProfessor, University of Southern CaliforniaE-mail confirmado em usc.edu
Erhan OztopComputer Science, Ozyegin University/OTRI, SISReC, Osaka UniversityE-mail confirmado em ozyegin.edu.tr
Gordon ChengTechnical University of MunichE-mail confirmado em tum.de
Daniel CallanChief Researcher, Brain Information Communication Research Laboratories, ATRE-mail confirmado em atr.jp
Ryu-ichiro HashimotoProfessor of Language Sciences, Tokyo Metropolitan UniversityE-mail confirmado em tmu.ac.jp
Giuseppe LisiFormer Computational Neuroscience Labs, ATR, Kyoto, JapanE-mail confirmado em atr.jp

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Mitsuo Kawato

ATR

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neuroscience


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Internal models for motor control and trajectory planning M Kawato Current opinion in neurobiology 9 (6), 718-727, 1999	3339	1999
Internal models in the cerebellum DM Wolpert, RC Miall, M Kawato Trends in cognitive sciences 2 (9), 338-347, 1998	2893	1998
Multiple paired forward and inverse models for motor control DM Wolpert, M Kawato Neural networks 11 (7-8), 1317-1329, 1998	2864	1998
Formation and control of optimal trajectory in human multijoint arm movement Y Uno, M Kawato, R Suzuki Biological cybernetics 61 (2), 89-101, 1989	2370	1989
A hierarchical neural-network model for control and learning of voluntary movement M Kawato, K Furukawa, R Suzuki Biological cybernetics 57, 169-185, 1987	2168	1987
A unifying computational framework for motor control and social interaction DM Wolpert, K Doya, M Kawato Philosophical Transactions of the Royal Society of London. Series B …, 2003	1623	2003
Human cerebellar activity reflecting an acquired internal model of a new tool H Imamizu, S Miyauchi, T Tamada, Y Sasaki, R Takino, B PuÈtz, ... Nature 403 (6766), 192-195, 2000	1306	2000
The central nervous system stabilizes unstable dynamics by learning optimal impedance E Burdet, R Osu, DW Franklin, TE Milner, M Kawato Nature 414 (6862), 446-449, 2001	1303	2001
Mosaic model for sensorimotor learning and control M Haruno, DM Wolpert, M Kawato Neural computation 13 (10), 2201-2220, 2001	969	2001
A computational model of four regions of the cerebellum based on feedback-error learning M Kawato, H Gomi Biological cybernetics 68 (2), 95-103, 1992	728	1992
Hierarchical neural network model for voluntary movement with application to robotics M Kawato, Y Uno, M Isobe, R Suzuki IEEE Control Systems Magazine 8 (2), 8-15, 1988	701*	1988
Equilibrium-point control hypothesis examined by measured arm stiffness during multijoint movement H Gomi, M Kawato Science 272 (5258), 117-120, 1996	687	1996
Multiple model-based reinforcement learning K Doya, K Samejima, K Katagiri, M Kawato Neural computation 14 (6), 1347-1369, 2002	652	2002
Feedback-error-learning neural network for trajectory control of a robotic manipulator H Miyamoto, M Kawato, T Setoyama, R Suzuki Neural networks 1 (3), 251-265, 1988	607	1988
Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation K Shibata, T Watanabe, Y Sasaki, M Kawato science 334 (6061), 1413-1415, 2011	569	2011
Learning from demonstration and adaptation of biped locomotion J Nakanishi, J Morimoto, G Endo, G Cheng, S Schaal, M Kawato Robotics and autonomous systems 47 (2-3), 79-91, 2004	551	2004
Different neural correlates of reward expectation and reward expectation error in the putamen and caudate nucleus during stimulus-action-reward association learning M Haruno, M Kawato Journal of neurophysiology 95 (2), 948-959, 2006	513	2006
Feedback-error-learning neural network for supervised motor learning M Kawato Advanced neural computers, 365-372, 1990	511	1990
Human arm stiffness and equilibrium-point trajectory during multi-joint movement H Gomi, M Kawato Biological cybernetics 76 (3), 163-171, 1997	510	1997
Adaptation to stable and unstable dynamics achieved by combined impedance control and inverse dynamics model DW Franklin, R Osu, E Burdet, M Kawato, TE Milner Journal of neurophysiology 90 (5), 3270-3282, 2003	508	2003

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